AI agent
Build and deploy enterprise-ready generative AI experiences.
Vertex AI Agent Builder is making generative AI more reliable for the enterprise. Create AI agents and applications using natural language or a code-first approach. Easily ground your agents or apps in enterprise data with a range of options. Vertex AI Agent Builder gathers all the surfaces and tools that developers need to build their AI agents and applications. Employ comprehensive evaluation metrics and tools to assess the performance and quality of your generative AI applications, test your applications to fine-tune their behaviors and responses. Effortlessly deploy your generative AI applications to production environments, ensuring scalability and reliability to meet enterprise demands with Google Cloud’s enterprise-ready infrastructure. Continuously monitor key metrics like usage, latency, safety, and cost to identify potential issues and optimize performance over time. Use Vertex AI Studio’s model tuning capabilities to work directly with foundation models or combine your apps with our out-of-the-box tools with our fully integrated platform. Build AI experiences that meet the rigorous standards and scaling needs of your enterprise. Vertex AI Agent Builder offers built-in security, compliance, and governance features, aligning with industry certifications like HIPAA, ISO 27000-series, SOC-1/2/3, VPC-SC, and CMEK. Maintain data privacy and control over your AI apps, manage access, and ensure the responsible use of AI models and data.
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Build and share AI Avatar Agents with zero code, train them with custom data sources and tools, and publish to your website in minutes.
AI Agent Builder Platform
Craft AI Agents that delight customers, empower employees and automate manual work. No code or AI expertise required.
Add your AI agent to our curated directory
Handle multi-step workflows autonomously
Example
Schedule meeting → Find time → Send invite → Confirm attendees
Save 5-10 hours/week on routine coordination tasks
Gather data from multiple sources and summarize
Example
Research competitor pricing across 5 websites, create comparison table
Reduce research time from hours to minutes
Analyze options and recommend actions
Example
Review 20 vendor proposals, score against criteria, rank top 3
Make data-driven decisions faster
AI agents combine large language models with tools, memory, and decision-making logic to autonomously complete multi-step tasks without constant human guidance.
Large language model for reasoning and decision-making
Understand tasks, plan steps, generate responses
APIs, databases, external services the agent can call
Take actions beyond text generation (search, compute, write files)
Short-term (conversation) and long-term (persistent) memory
Maintain context across interactions and learn from past actions
Decision engine for choosing next action
Plan multi-step workflows and handle errors/edge cases
Prerequisites
Steps
✓ Do
✗ Don't
Key Metrics
Optimization Tips
Google Cloud Platform has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.
Solid agent profile: Google Cloud Platform links out cleanly and the on-site reviews add signal beyond marketing copy.
Good discoverability: Google Cloud Platform shows up in the agents directory with enough detail to pre-qualify buyers.
Google Cloud Platform reduced evaluation time — saves/upvotes on explainx.ai correlated with fewer surprises in the trial.
Google Cloud Platform is among the more trustworthy entries we bookmarked; the explainx.ai profile reads like a practitioner summary.
We compared Google Cloud Platform with three neighbors in the same category; this one had the most concrete “what it does” framing.
Google Cloud Platform reduced evaluation time — saves/upvotes on explainx.ai correlated with fewer surprises in the trial.
I recommend Google Cloud Platform for teams already running multiple AI agents; the listing helped us narrow the short list quickly.
Google Cloud Platform has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.
According to our evaluation, Google Cloud Platform benefits from clear positioning — fewer buzzwords than typical agent landing pages.
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Key Considerations
